Arbitrarily-shaped wavelet transform for image compression

Eui Sung Kang, Jae Yong Lee, Jong Han Kim, Sung Jea Ko, Aldo W. Morales

Research output: Contribution to conferencePaperpeer-review

Abstract

Wavelet transform is not applicable to arbitrarily-shaped region (or object) in images, due to the nature of its global decomposition. In this paper, the arbitrarily-shaped wavelet transform (ASWT) is proposed in order to solve this problem and its properties are investigated. Computational complexity of the ASWT is also examined and it is shown that the ASWT requires significantly fewer computations than conventional wavelet transform, since the ASWT processes only the object region in the original image. Experimental results show that any arbitrarily-shaped image segment can be decomposed using the ASWT and perfectly reconstructed using the inverse ASWT.

Original languageEnglish (US)
Pages1453-1456
Number of pages4
StatePublished - Dec 1 1997
EventProceedings of the 1997 40th Midwest Symposium on Circuits and Systems. Part 1 (of 2) - Sacramento, CA, USA
Duration: Aug 3 1997Aug 6 1997

Other

OtherProceedings of the 1997 40th Midwest Symposium on Circuits and Systems. Part 1 (of 2)
CitySacramento, CA, USA
Period8/3/978/6/97

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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